Trulioo is the AI-connected risk intelligence platform for fraud and
financial crime, trusted by global enterprises to verify identities,
prevent fraud and manage business risk. Trulioo combines
proprietary technology with regional expertise to deliver verification
and risk decisions on one platform, in any market globally.
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Trulioo is a registered trademark of Trulioo Information Services Inc. in the United States, the European
Union, Canada and other countries.
Part of a Unified Fraud Defense
Solution from Trulioo
Device Intelligence and Behavior Anomaly is the ideal
complement to Person Fraud from Trulioo, which
evaluates a person’s digital identity signals such as
phone, IP and address.
Person Fraud reveals whether the identity attributes
themselves are trustworthy. Device Intelligence
reveals whether the environment behind the session
is trustworthy. Behavior Anomaly reveals whether the
user is behaving the way the real account holder should.
Combined, the three layers cover the identity, the
environment and the human in a single decision, with a
shared platform, a shared audit trail and a shared set
of reason codes.
Built for Global Enterprise Fraud Teams
• Integrates with your existing decisioning engine
• SDK across Web, iOS and Android, plus a REST API
• Built to support AML and GDPR compliance
requirements
The Signals Behind the Scores
Hundreds of granular signals, combined with
reason codes, help fraud teams approve more good
customers, route fewer to manual review and trigger
step-up authentication only when the signals warrant it.
Device Signals
What the Environment Reveals
Behavioral Signals
What the User Reveals
Persistent Fingerprint
Survives resets, incognito and spoofing attempts
User Similarity Scoring
Per-user baseline trained over 5 sessions
Device Integrity
Emulator, rooted/jailbroken, app tampering, hooking
Network
VPN, TOR, proxy, IP reputation, residential vs. commercial
Location
Mocked GPS, IP vs. GPS mismatch (impossible travel)
Remote Access
Screen-share, remote session
Bot Detection
0 to 100 score for automated and scripted sessions
Input Patterns
Autofill, copy-paste, field-focus activity
Swipe Activity
Unusual swipe input on mobile login screens
Session Signals
Duration, background-app toggling